Instructor Led Live Online
Self Learning + Live Mentoring
Customize Your Training
The entire training includes real-world projects and highly valuable case studies.
IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.
MODULE 1: DATA SCIENCE COURSE INTRODUCTION
MODULE 2: DATA SCIENCE ESSENTIALS
MODULE 3: DATA SCIENCE DEMO
MODULE 4: ANALYTICS CLASSIFICATION
MODULE 5: DATA SCIENCE AND RELATED FIELDS
MODULE 6: DATA SCIENCE ROLES & WORKFLOW
MODULE 7: MACHINE LEARNING INTRODUCTION
MODULE 8: DATA SCIENCE INDUSTRY APPLICATIONS
MODULE 1: PYTHON BASICS
MODULE 2: PYTHON CONTROL STATEMENTS
MODULE 3: PYTHON DATA STRUCTURES
MODULE 4: PYTHON FUNCTIONS
MODULE 5: PYTHON NUMPY PACKAGE
MODULE 6: PYTHON PANDASPACKAGE
MODULE 1: OVERVIEW OF STATISTICS
MODULE 2: HARNESSING DATA
MODULE 3: EXPLORATORY DATA ANALYSIS
MODULE 4: HYPOTHESIS TESTING
MODULE 5: CORRELATION AND REGRESSION
MODULE 1: MACHINE LEARNING INTRODUCTION
MODULE 2: PYTHON NUMPY & PANDAS PACKAGE
MODULE 3: VISUALIZATION WITH PYTHON
MODULE 4: ML ALGO: LINEAR REGRESSION
MODULE 5: ML ALGO: KNN
MODULE 6: ML ALGO: LOGISTIC REGRESSION
MODULE 7: PRINCIPLE COMPONENT ANALYSIS (PCA)
MODULE 8: ML ALGO: K MEANS CLUSTERING
MODULE 1: MACHINE LEARNING INTRODUCTION
MODULE 2: ML ALGO: LINEAR REGRESSSION
MODULE 3: ML ALGO: LOGISTIC REGRESSION
MODULE 4: ML ALGO: KNN
MODULE 5: ML ALGO: K MEANS CLUSTERING
MODULE 6: PRINCIPLE COMPONENT ANALYSIS (PCA)
MODULE 7: ML ALGO: DECISION TREE
MODULE 8 : ML ALGO: NAÏVE BAYES
MODULE 9: GRADIENT BOOSTING, XGBOOST
MODULE 10: ML ALGO: SUPPORT VECTOR MACHINE (SVM)
MODULE 11: ARTIFICIAL NEURAL NETWORK (ANN)
MODULE 12: ADVANCED ML CONCEPTS
MODULE 1: TIME SERIES FORECASTING - ARIMA
MODULE 2: FEATURE ENGINEERING
MODULE 3: SENTIMENT ANALYSIS
MODULE 4: REGULAR EXPRESSIONS WITH PYTHON
MODULE 5: ML MODEL DEPLOYMENT WITH FLASK
MODULE 6: ADVANCED DATA ANALYSIS WITH MS EXCEL
MODULE 7: AWS CLOUD FOR DATA SCIENCE
MODULE 8: AZURE FOR DATA SCIENCE
MODULE 1: DATABASE INTRODUCTION
MODULE 2: SQL BASICS
MODULE 3: DATA TYPES AND CONSTRAINTS
MODULE 4: DATABASES AND TABLES (MySQL)
MODULE 5: SQL JOINS
MODULE 6: SQL COMMANDS AND CLAUSES
MODULE 7 : DOCUMENT DB/NO-SQL DB
MODULE 1: GIT INTRODUCTION
MODULE 2: GIT REPOSITORY and GitHub
MODULE 3: COMMITS, PULL, FETCH AND PUSH
MODULE 4: TAGGING, BRANCHING AND MERGING
MODULE 5: UNDOING CHANGES
MODULE 6: GIT WITH GITHUB AND BITBUCKET
MODULE 1: BIG DATA INTRODUCTION
MODULE 2 : HDFS AND MAP REDUCE
MODULE 3: PYSPARK FOUNDATION
MODULE 4: SPARK SQL and HADOOP HIVE
MODULE 5 : MACHINE LEARNING WITH SPARK ML
MODULE 6: KAFKA and Spark
MODULE 1: BUSINESS INTELLIGENCE INTRODUCTION
MODULE 2: BI WITH TABLEAU: INTRODUCTION
MODULE 3 : TABLEAU: CONNECTING TO DATA SOURCE
MODULE 4: TABLEAU : BUSINESS INSIGHTS
MODULE 5: DASHBOARDS, STORIES AND PAGES
MODULE 6: BI WITH POWER-BI
Data Science operates by collecting and analyzing large datasets to uncover patterns, trends, and insights. It involves employing statistical methods, machine learning algorithms, and programming languages like Python or R to extract valuable information.
Data Science entails deriving insights and knowledge from data through techniques like statistics, machine learning, and data analysis, covering the entire data lifecycle from collection to visualization.
Individuals with backgrounds in mathematics, statistics, computer science, or related fields are eligible for Data Science Certification Courses. These courses are also beneficial for professionals seeking to enhance their analytical skills or transition into the data science field.
While a bachelor's degree in a relevant field is common, many Data Scientists hold advanced degrees such as a master's or Ph.D. Strong foundational skills in mathematics, programming, and practical experience are equally essential.
The Certified Data Scientist Course stands out as a premier choice in Warsaw. This comprehensive program covers crucial data science skills, including programming, statistics, and machine learning, offering hands-on experience for a successful career in this dynamic field.
In Warsaw, Data Scientists commonly commence their careers as analysts, progressing to senior roles or specializing in positions such as machine learning engineers or data architects. Advancement is often achieved through continual learning, networking, and gaining practical experience.
Statistics is crucial in data science, empowering analysts to extract meaningful insights from data. This involves employing descriptive statistics to succinctly summarize data and leveraging inferential statistics for making predictions and informed decisions based on sampled data.
Critical proficiencies for aspiring Data Scientists encompass mastery of programming languages, adeptness in data manipulation, proficiency in statistical analysis, a solid grasp of machine learning, and effective communication skills to articulate findings persuasively.
Embarking on the path involves laying a robust foundation in mathematics and programming. Gain hands-on experience with authentic datasets, explore online courses, actively participate in projects, and curate a portfolio that showcases your skills. Establishing connections with professionals in the field can also provide invaluable insights.
Data Science in finance is applied for tasks such as optimizing risk management, detecting fraud, segmenting customers strategically, and implementing algorithmic trading. It employs predictive modeling and analytics to refine decision-making processes, elevate customer experiences, and identify irregularities in financial transactions.
Common challenges in Data Science Projects include grappling with issues related to data quality, ensuring model interpretability, and addressing scalability concerns. Effectively addressing these challenges entails meticulous data preprocessing, the implementation of explainable AI techniques, and optimizing algorithms for streamlined processing.
In manufacturing and supply chain management, Data Science optimizes processes by predicting equipment failures, improving demand forecasting, and refining inventory management. This leads to increased operational efficiency, cost reduction, and streamlined supply chain operations.
Internships offer practical exposure to real-world projects, fostering hands-on skill development and providing insights into the industry. They not only enhance resumes but also facilitate networking, often leading to potential full-time job opportunities.
Enrolling in Data Science Bootcamps can be advantageous for swiftly acquiring skills. These programs provide practical experience, mentorship, and networking opportunities, accelerating entry into the field. Success, however, relies on individual dedication and the quality of the chosen bootcamp.
Data Scientists are responsible for gathering, processing, and analyzing extensive datasets to extract actionable insights. They develop predictive models, design experiments, and communicate findings to guide strategic decision-making. Collaborating with cross-functional teams, they contribute to problem-solving and drive innovation within the organization.
Data Science is widely utilized in sectors like finance, healthcare, e-commerce, manufacturing, and telecommunications. Its adaptable tools and methodologies contribute to enhanced decision-making, efficiency, and innovation across various domains.
The Data Science project lifecycle involves defining objectives, collecting and preprocessing data, conducting exploratory data analysis, developing models, validating results, deploying solutions, and continuous monitoring. Each stage is critical to align the project with business objectives and yield meaningful insights.
According to Indeed, Data Scientists in Warsaw can expect an average annual salary of €92,683. This reflects the recognition of their expertise in extracting valuable insights from data, contributing significantly to decision-making processes. The competitive salary underscores the crucial role Data Scientists play in advancing innovation and analytics in Warsaw.
Data Science plays a pivotal role in e-commerce by analyzing customer behavior, preferences, and transaction data. Recommendation systems, fueled by machine learning algorithms, personalize user experiences, suggest products, and enhance customer engagement, ultimately driving increased sales and satisfaction.
Data Science empowers retailers to analyze customer behavior, preferences, and purchase history, facilitating effective segmentation. By leveraging machine learning algorithms, businesses can tailor personalized shopping experiences, recommend products, and optimize marketing strategies, ultimately boosting customer satisfaction and loyalty.
DataMites offers a diverse array of data science certifications in Warsaw, including the renowned Certified Data Scientist Course, tailored for comprehensive expertise. Specialized programs like Data Science for Managers, Data Science Associate, and Diploma in Data Science cater to varying skill levels and professional needs, covering domains like Marketing, Operations, Finance, HR, and more.
The duration of DataMites' data scientist courses in Warsaw varies from 1 to 8 months, depending on the course level.
The DataMites Certified Data Scientist Course in Warsaw is a globally sought-after program in Data Science and Machine Learning. It is regularly updated to meet industry requirements, offering a job-oriented approach for participants to acquire essential skills and knowledge in the dynamic field of data science.
Newcomers in Warsaw can access foundational data science training through courses like Certified Data Scientist, providing comprehensive skills. Data Science in Foundation offers an introductory track, and the Diploma in Data Science ensures a holistic learning experience. These beginner-friendly courses from DataMites establish a solid understanding of fundamental concepts for those entering the dynamic field of data science.
No prerequisites are required for enrolling in Certified Data Scientist Training in Warsaw. The course is designed to accommodate beginners and intermediate learners in the field of data science.
The fee structure for DataMites' data science training in Warsaw is designed with flexibility, ranging from PLN 43,995 to PLN 52,70. This accommodates various budget preferences, making the training accessible to a wide range of participants.
Certainly, DataMites offers tailored data science courses for Warsawian professionals, covering Statistics, Python, and Certified Data Scientist Operations. Specialized options like Data Science with R Programming and Certified Data Scientist courses in Marketing, HR, and Finance are designed specifically for working professionals, ensuring targeted skill enhancement.
Enrolling in DataMites' online data science training in Warsaw provides the convenience of learning from any location, eliminating geographical constraints. The interactive online platform fosters engagement through discussions, forums, and collaborative activities, enhancing the overall data science training experience.
DataMites acknowledges that unforeseen circumstances may lead to missed training sessions in Warsaw. In such instances, participants can access recorded sessions for review, enabling them to catch up on missed content. Additionally, one-on-one sessions with trainers are available to address queries and clarify concepts covered during the missed session, ensuring a comprehensive learning experience.
Trainers at DataMites are carefully chosen based on their elite status, with faculty members possessing real-time experience from top companies and prestigious institutes like IIMs conducting the data science training sessions.
Yes, participants must present a valid photo identification proof, such as a national ID card or driver's license, to receive their participation certificate and, if necessary, to schedule the certification exam during the data science training sessions.
Certainly, upon successfully finishing the data science course in Warsaw with DataMites, participants receive a prestigious certification, validating their proficiency in the field.
Indeed, DataMites in Warsaw provides assistance sessions for participants, offering additional support and clarification on specific data science topics to ensure a comprehensive understanding.
Yes, DataMites offers a trial class option in Warsaw, providing participants with a preview of the training content and learning environment before committing to the fee.
The Flexi-Pass at DataMites in Warsaw offers participants flexible learning options, enabling them to customize their training schedule based on personal preferences. This accommodates busy schedules, ensuring individuals can pursue data science training at their convenience.
The recommended choice for managers or leaders aiming to incorporate data science into decision-making processes is the "Data Science for Managers" course offered by DataMites.
DataMites offers data science course training in Warsaw through online data science course training in Warsaw and self-paced methods, providing flexibility and personalized learning opportunities.
Upon successfully finishing Data Science Training in Warsaw, participants are awarded IABAC Certification by DataMites, recognizing their expertise in data science.
DataMites' career mentoring sessions in Warsaw follow an interactive format, guiding participants on industry trends, resume building, and interview preparation to enhance their employability in the data science field.
Absolutely, DataMites ensures the inclusion of practical projects in their Data Scientist Course in Warsaw, featuring over 10 capstone projects and hands-on client/live project experiences.
Indeed, DataMites offers Data Science Courses with internship opportunities in Warsaw, providing valuable hands-on experience with AI companies.
The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -
The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.
No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.